import logging
import os

ROOT_PATH = __path__[0]
NAME = "dpgen"
SHORT_CMD = "dpgen"
dlog = logging.getLogger(__name__)
dlog.setLevel(logging.INFO)
dlogf = logging.FileHandler(os.getcwd() + os.sep + SHORT_CMD + ".log", delay=True)
dlogf_formatter = logging.Formatter("%(asctime)s - %(levelname)s : %(message)s")
# dlogf_formatter=logging.Formatter('%(asctime)s - %(name)s - [%(filename)s:%(funcName)s - %(lineno)d ] - %(levelname)s \n %(message)s')
dlogf.setFormatter(dlogf_formatter)
dlog.addHandler(dlogf)

__author__ = "Han Wang"
__copyright__ = "Copyright 2019"
__status__ = "Development"
try:
    from ._version import version as __version__
except ImportError:
    __version__ = "unkown"


def info():
    (
        """
        Show basic information about """
        + NAME
        + """, its location and version.
    """
    )

    print("DeepModeling\n------------")
    print("Version: " + __version__)
    print("Path:    " + ROOT_PATH)
    print("")
    print("Dependency")
    print("------------")
    for modui in [
        "numpy",
        "dpdata",
        "pymatgen",
        "monty",
        "ase",
        "paramiko",
        "custodian",
    ]:
        try:
            mm = __import__(modui)
            print("%10s %10s   %s" % (modui, mm.__version__, mm.__path__[0]))
        except ImportError:
            print("%10s %10s Not Found" % (modui, ""))
        except AttributeError:
            print("%10s %10s unknown version or path" % (modui, ""))
    print()

    # reference
    print(
        """Reference
------------
Please cite:
Yuzhi Zhang, Haidi Wang, Weijie Chen, Jinzhe Zeng, Linfeng Zhang, Han Wang, and Weinan E,
DP-GEN: A concurrent learning platform for the generation of reliable deep learning
based potential energy models, Computer Physics Communications, 2020, 107206.
------------
"""
    )
